---
license: mit
language:
- en
- ru
tags:
- http-requests
- waf
- cybersecurity
- parquet
---
# MicroData

A reproducible byte-oriented HTTP request dataset for defensive WAF research. It contains **800,000** records with 60% benign and 40% attack examples, split into train (70%), validation (15%), and test (15%).

## Fields

- `raw_bytes_b64`: UTF-8 request bytes encoded as base64.
- `label`: `0` benign, `1` attack.
- `family`: attack family or `benign`.
- `source`: source provenance.
- `obfuscation_level`: `none`, `light`, `medium`, or `heavy`.

## Sources and construction

The mix includes CSIC 2010-derived HTTP traffic, PayloadsAllTheThings payload references, the MIT-licensed `notesbymuneeb/ai-waf-dataset`, and deterministic synthetic examples. Mutations include URL/double encoding, case changes, comment insertion, null/whitespace tricks, Unicode-safe textual variants, and injection-location changes. Seed: `20260921`.

## Loading

```python
from datasets import load_dataset
ds = load_dataset("neuroX3/MicroData")
```

This dataset is intended for defensive model training and evaluation. Review source licenses and provenance before redistribution in downstream products.